Quantitative Scientist
Core
Ensure Pedestal's data are reliable, well-understood, and ready for scientific and regulatory use by supporting high-quality analyses, data validation, and scalable analytic workflows for real-world evidence generation.
Role type
Quantitative Scientist (Real-World Evidence)
Builds
Scalable analytic workflows and reproducible real-world evidence generation pipelines
Domain
Life sciences / Healthcare / Real-World Evidence (RWE)
Deliverable
production ML models | dashboards & analysis | research
Required skills
R programming, data cleaning, data validation, reproducible analytic workflows, statistical analysis, data curation, version control, visualization, scientific writing
Preferred skills
Experience with EMR, claims, registry, or clinical trial data, knowledge of data structure and provenance, ability to translate analytic findings into insights
Technologies
R
Responsibilities
Ensure data accuracy, completeness, and fitness-for-use; support design and execution of retrospective and prospective analyses; write analytic code for descriptive, comparative, and predictive analyses; contribute to scalable and reusable analytic workflows; transform analytic findings into clear visualizations and summaries; support development of publications and scientific presentations
Seniority
Mid-level, hands-on IC